This study empirically addresses claims about the effects of strikes on output growth, inflation, and non-agricultural employment in South Africa using a structural analysis of Bayesian VAR models with a Normal inverted Wishart prior for the period 1982-2018. We find empirical support for a...

The valuation of house prices is drawing noteworthy attention due to worldwide financial and real estate crises in the last decade. Therefore, there is an immediate need to design more effective predictive systems of house prices. Indeed, investors, creditors, and governments are all interested...

The fourth industrial revolution is a profound transformation utilizing emerging technologies like smart automation, large-scale machine-to-machine communication, and the internet of things to change traditional manufacturing and industrial practices. The analysis of the huge amount of data...

This empirical work aims to determine whether the government expenditure shocks on consumption have impacts on macroeconomic factors. This study prepares four quarterly period datasets associated with macroeconomic activities in Indonesia with 24 data started in 2017 until 2022, such as...

In actuarial practice, the modeling of total losses tied to a certain policy is a nontrivial task due to complex distributional features. In the recent literature, the application of the Dirichlet process mixture for insurance loss has been proposed to eliminate the risk of model...

Factor modelling extracts common information from a high-dimensional data set into few common components, where the latent factors usually explain a large share of data variation. Exploratory factor estimation induces sparsity into the loading matrix to associate units or series with those...